served from maproom.meteorwanda.gov.rw
∂T ∂T [ Rwanda Dekad climatologies rfe ] : ∂T ∂T Rainfall Dekad Climatology 1981-2010 data
Rwanda Dekad climatologies rfe rfe rfe partial_T partial_T partial_T ∂T ∂T Rainfall Dekad Climatology 1981-2010 from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (365) periodic [ (0304 16 Jan) (0304 16 Jan - 1927 10 Feb) (1927 10 Feb - 0904 20 Feb) (0904 20 Feb - 2400 24 Feb) (0000 25 Feb) (0000 25 Feb - 1504 1 Mar) (1504 1 Mar - 0432 11 Mar) (0432 11 Mar - 2232 10 Apr) (2232 10 Apr - 2400 15 Apr) (0000 16 Apr) (16-20 Apr) (21-30 Apr) (0000 1 May - 0127 11 May) (0127 11 May - 2232 10 Jun) (2232 10 Jun - 2400 15 Jun) (0000 16 Jun) (16-20 Jun) (21-30 Jun) (0000 1 Jul - 0127 11 Jul) (0127 11 Jul - 2104 5 Aug) (2104 5 Aug) (2104 5 Aug - 2400 10 Aug) (0000 11 Aug - 2232 10 Sep) (2232 10 Sep - 2400 15 Sep) (0000 16 Sep) (16-20 Sep) (21-30 Sep) (0000 1 Oct - 0127 11 Oct) (0127 11 Oct - 2232 10 Nov) (2232 10 Nov - 2400 15 Nov) (0000 16 Nov) (16-20 Nov) (21-30 Nov) (0000 1 Dec - 0127 11 Dec) (0127 11 Dec - 0304 16 Jan) (0304 16 Jan)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.55625E) to (30.95625E) by 0.03750002 N= 65 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.94375S) to (1.06875S) by 0.03750001 N= 51 pts :grid
Other Info
- CE
- 300
- colorscalename
- cmorph_dekad_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.33959190672154×10-13 meter second-2
- history
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- colorscale
Last updated: Wed, 26 Jun 2024 16:53:08 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units